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A Three-Dimensional Spatiotemporal Receptive Field Model Explains Responses of Area MT Neurons to Naturalistic Movies

机译:三维时空感受野模型解释了区域MT神经元对自然主义电影的反应

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摘要

Area MT has been an important target for studies of motion processing. However, previous neurophysiological studies of MT have used simple stimuli that do not contain many of the motion signals that occur during natural vision. In this study we sought to determine whether views of area MT neurons developed using simple stimuli can account for MT responses under more naturalistic conditions. We recorded responses from macaque area MT neurons during stimulation with naturalistic movies. We then used a quantitative modeling framework to discover which specific mechanisms best predict neuronal responses under these challenging conditions. We find that the simplest model that accurately predicts responses of MT neurons consists of a bank of V1-like filters, each followed by a compressive nonlinearity, a divisive nonlinearity, and linear pooling. Inspection of the fit models shows that the excitatory receptive fields of MT neurons tend to lie on a single plane within the three-dimensional spatiotemporal frequency domain, and suppressive receptive fields lie off this plane. However, most excitatory receptive fields form a partial ring in the plane and avoid low temporal frequencies. This receptive field organization ensures that most MT neurons are tuned for velocity but do not tend to respond to ambiguous static textures that are aligned with the direction of motion. In sum, MT responses to naturalistic movies are largely consistent with predictions based on simple stimuli. However, models fit using naturalistic stimuli reveal several novel properties of MT receptive fields that had not been shown in prior experiments.
机译:MT区已成为运动处理研究的重要目标。但是,以前的MT神经生理学研究使用的是简单刺激,其中不包含自然视觉过程中发生的许多运动信号。在这项研究中,我们试图确定使用简单刺激开发的区域MT神经元是否可以解释更自然条件下的MT反应。我们记录了用自然主义电影进行刺激期间猕猴MT神经元的反应。然后,我们使用了定量建模框架,以发现在这些挑战性条件下,哪种特定机制最能预测神经元反应。我们发现,最准确地预测MT神经元反应的最简单模型是由一堆V1样的滤波器组成,每个滤波器都紧随其后的是压缩非线性,分裂非线性和线性池化。拟合模型的检查表明,MT神经元的兴奋性感受野倾向于位于三维时空频域内的单个平面上,而抑制性感受野则不在此平面上。但是,大多数兴奋性感受野在平面中形成局部环,并避免了较低的时间频率。这种感受野的组织确保大多数MT神经元的速度得以调整,但不会倾向于响应与运动方向对齐的模糊静态纹理。总而言之,机器翻译对自然主义电影的反应在很大程度上与基于简单刺激的预测一致。但是,使用自然刺激拟合的模型揭示了MT受体场的一些新特性,而先前的实验并未显示这些特性。

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